BP neural network optimization chaotic control method based on double-fed wind power system

A BP neural network, double-fed wind power technology, applied in the direction of motor generator control, generator control circuit, electronic commutation motor control, etc., can solve the problem of effect impact

Inactive Publication Date: 2019-08-16
GUANGDONG UNIV OF TECH
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Problems solved by technology

However, the effect of backstepping is affected by its control parameters

Method used

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  • BP neural network optimization chaotic control method based on double-fed wind power system
  • BP neural network optimization chaotic control method based on double-fed wind power system
  • BP neural network optimization chaotic control method based on double-fed wind power system

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Embodiment Construction

[0073] The invention discloses a method for optimizing a chaotic motion control strategy of a doubly-fed wind power system based on a BP neural network. The specific design steps are as follows:

[0074] Step 1. Establish decoupling mathematical model of DFIG wind power system

[0075] Firstly, the standard mathematical model of the DFIG system is established. The mathematical model includes the voltage and flux equation of the DFIG and the motor motion equation. On this basis, the decoupling mathematical model of the DFIG system is established. The specific steps are as follows:

[0076] Step 1.1, establish the standard mathematical model of the doubly-fed wind power system

[0077] The voltage and flux linkage equation of double-fed induction generator is:

[0078]

[0079] The equation of motion of the motor is as follows:

[0080]

[0081] where ω s = ω 1 -ω r ; where, Ψ sd , Ψ sq , u sd , u sq i sd i sq , R s Respectively, the d-axis component of the flu...

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Abstract

The invention discloses a BP neural network optimization chaotic control method based on a double-fed wind power system. The method comprises the steps of: establishing a standard mathematical model of the double-fed wind power system, wherein the mathematical model comprises a voltage same flux linkage equation of a double-fed induction generator and a motor motion equation, and on this basis, establishing a decoupling model of the double-fed wind power system; designing the backstepping controller for the d-axis current of the rotor by utilizing the backstepping method, and designing the backstepping controller for the q-axis current and the rotating speed v of the rotor; and employing the BP neural network to fit and optimize the decoupling backstepping control parameters to achieve optimization of the control effect of the double-fed wind power system. The global stability of the system is verified by the stability analysis theory and actual verification.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to the control strategy optimization of a doubly-fed wind power system. Background technique [0002] At present, research on doubly-fed motor (DFIG) mainly focuses on vector control speed regulation and variable-speed constant-frequency operation. The research on chaotic motion analysis and control of motors is mainly aimed at permanent magnet synchronous motors, and there are few related researches on doubly-fed motors. In fact, under certain working conditions, the doubly-fed motor system will also exhibit chaotic operating characteristics, which can be manifested as violent oscillation of stator and rotor current, speed and torque, unstable control performance, and irregular electromagnetic noise of the system. The current research on the chaotic phenomenon of motors focuses on the identification and prediction of such nonlinear phenomena, which is difficult to explain by cl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P9/00H02P21/00H02J3/38
CPCH02J3/386H02P9/007H02P21/0014H02J2203/20Y02E10/76
Inventor 黄俊豪杨俊华叶剑杲谭绮仪
Owner GUANGDONG UNIV OF TECH
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